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Retail Sessions

Learn from these case studies about how companies are employing data technologies in retail and online commerce: understanding and predicting customer behavior, making recommendations, and sentiment analysis.

Related sessions

1:45pm–2:25pm Wednesday, 10/30/2013
Erin Shellman (Nordstrom), David Von Lehman (Nordstrom)
Slides:   external link
Nordstrom started modestly in 1901 as a small shoe store in Seattle, and has since expanded to 117 full-line department stores and 138 Rack stores across the country. The art of retailing has changed dramatically over the last century and retailers today are concerned with understanding customer behavior and preferences both in the physical world and online.
11:50am–12:30pm Tuesday, 10/29/2013
Jonathan Natkins (WibiData), Juliet Hougland (Cloudera)
Slides:   1-PPTX 
Consumer expectations have dramatically increased and retailers must present relevant content to maintain a competitive advantage. This presentation will demo an e-commerce application with real-time, personalized recommendations and discuss combining open-source system architecture, based on HBase and Kiji, with good predictive model design to build a scalable, real-time recommendation system.
1:45pm–2:25pm Wednesday, 10/30/2013
Slides:   1-ZIP    external link
Voice of the customer (VOC) data is a rapidly growing, unstructured, untapped data source – for your web site and across social media sites. Topic discovery through clustering of user verbatims, integrated with decision support data, can unleash valuable, actionable insights from millions of customers.


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